Ram described Penske’s “driver retention” model, which once significantly reduced overtime, but gradually lost effectiveness ...

The degree to which someone trusts the information depicted in a chart can depend on their assumptions about who made the ...

This pie chart illustrates the distribution of visualization tools in the FigureYa resource package across three dimensions: research type (outer ring), analysis method (middle ring), and output ...

In this tutorial, we take a deep dive into the capabilities of Zarr, a library designed for efficient storage & manipulation of large, multidimensional arrays. We begin by exploring the basics, ...

The social science data analysis and visualization minor introduces students to the fundamentals and current innovations of research and data analysis across social science disciplines. It equips ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

What makes a data visualization truly memorable? Is it the sleek design, the clever use of color, or the ability to distill complex information into something instantly understandable? The truth is, ...

China University of Petroleum(East China), Shandong Key Laboratory of Intelligent Oil Gas Industrial Software, School of Computer Science and Technology, Qingdao, Shandong, China Introduction: Marine ...

Wrapping up a multi-week series on Crafting Data Personas. What are they, why are they important, and how to get started. Continuing from last week, we’re diving right into examples of personas. I ...

Abstract: We present a visualization tool developed for parallel data and information visualization in the domain of healthcare. The tool was used to get an insight into patient's current state in a ...